Trait Values Research Articles

LcASR enhances tolerance to abiotic stress in Leymus chinensis and Arabidopsis thaliana by improving photosynthetic performance

SUMMARYAs a crucial forage grass, Leymus chinensis plays significant roles in soil and water conservation owing to its robust stress resistance. However, the underlying molecular mechanisms of its stress tolerance remain unclear. In this study, a novel gene, designated as LcASR (Abiotic Stress Resistance in Leymus chinensis), imparting resilience to both high light and drought, was identified. Under normal growth conditions, heterologous overexpression of LcASR in Arabidopsis (HO lines) showed no significant difference in appearance compared to wild‐type. Nevertheless, HO lines accumulate significantly higher chlorophyll content during the dark‐to‐light transition compared to the wild‐type, indicating that the LcASR protein participates in chlorophyll synthesis during chloroplast development. Meanwhile, transgenic Arabidopsis and L. chinensis plants exhibited resistance to abiotic stresses such as high light and drought. Photosystem complexes analysis revealed that LHCII proteins remained stable within their respective complexes during high light stress. We hypothesize that LcASR may play a role in fine tuning of chlorophyll synthesis to enable plant adaptation to diverse stress conditions. Moreover, overexpression of LcASR in L. chinensis led to agronomically valuable traits such as deeper green color, higher biomass accumulation, prolonged withering period, and extended grazing durations. This study uncovers a novel gene in L. chinensis that enhances forage yield and provides valuable genetic resources for sheepgrass breeding.

Allelic variation at the PPD-A1 locus and its associations with heading time and winter wheat (Triticum aestivum L.) agronomic traits in the northern Black Sea region

Aim. The identification of Ppd-1-alleles in winter bread wheat varieties of various origin, including the ones of Ukrainian plant breeding and recombinant-inbred lines Orenburgskaya 48//Cappelle Desprez/2В Chinese Spring, and the evaluation of the effects of allele Ppd-А1_del303, including the interaction with different alleles of gene Ppd-B1, by the duration of the period before heading and the related agronomically valuable traits. Methods. DNA extraction, allele-specific PCR, agarose and polyacrylamide gel electrophoresis, phenological observations, evaluation of frost resistance in seedlings, and analysis of morphobiological traits and elements of yield structure. Statistical analysis of the obtained data was carried out in Microsoft Excel. The significance of the difference between samples was assessed by Fisher's F test. A difference of p < 0.05 was considered statistically significant for all indicators. Results. The marking of 30 varieties of different origin and 64 recombinant-inbred lines of Orenburgskaya 48//Cappelle Desprez/2B Chinese Spring winter bread wheat was carried out to identify the alleles of the Ppd-A1 gene. The polymorphism of varieties and populations of recombinant-inbred lines in the northern Black Sea region (Odesa) was evaluated for ten traits: frost resistance of plants in the seedling phase, winter hardiness, duration of the period before heading, plant height, grain number per spike, grain weight per spike, thousand grain weight, number of productive tillers per unit area, harvest index and grain yield. The comparison of the lines evaluation data in terms of agronomic traits and the results of the genotypes identification allowed us to identify the influence of Ppd-A1 gene alleles and various combinations of the alleles of Ppd-A1 and Ppd-B1 genes on these traits. Conclusions. A higher prevalence of the Ppd-A1_del303 allele was found both among varieties and recombinant-inbred lines. The genetic differences by the Ppd-A1 gene (Ppd-A1_del303 or Ppd-A1b) are significantly related only to frost resistance of seedlings in the absence of significant differences in other traits. The interaction between Ppd-A1b and Ppd-B1c alleles contributed to the acceleration of early maturity and the formation of the highest indicators of grain weight per spike, thousand grain weight, harvest index, and grain yield. The replacement of the Ppd-A1b allele with Ppd-A1_del303 led to a decrease in the effect of the dominant Ppd-B1c allele on accelerating heading and negatively affected the grain weight per spike, thousand grain weight, harvest index and grain yield compared to the Ppd-A1b Ppd-B1c genotype.

Functional characters and ontogenetic structure of populations of Ziziphora clinopodioides (Lamiaceae) at the range border (Republic of Khakasia)

The object of this study is a characteristic subshrub of Khakasia, Ziziphora clinopodioides (Lamiaceae). The study of functional traits and the structure of the Z. clinopodioides populations at the eastern limit of its distribution (Republic of Khakasia) has been carried out for the first time. The materials were collected in 2022–2023 in true and meadow steppes of the forest-steppe belt. Environmental factors influencing functional traits and the ratio of individuals of different ontogenetic states have been identified. It has been established that disturbed steppes on sandy soils with the presence of stones and low moisture represent the ecological optimum for this species. Under these conditions, the indices of most of the studied functional traits (the number of vegetative shoots per 1 composite skeletal axis, the number of generative shoots with paracladia, the number of paracladia, the number of flowers in paracladia, the number of flowers in the main inflorescence) reach the highest values. In undisturbed steppes on sandy loam soils with moderate moisture, Z. clinopodioides is in unfavorable conditions, and develops individuals with minimal values of functional traits. All the studied populations are normal, complete or incomplete. Left-sided and bimodal ontogenetic spectra are formed in disturbed steppes on sandy soils with the presence of stones and low moisture; in the undisturbed steppe on sandy loam soil with moderate moisture, the spectrum type is bimodal. The density of individuals depends on the degree of soding in the community and anthropogenic load. With an increase in the total projective cover and in the absence of anthropogenic impact, the density of individuals decreases. The causes of restructuring of functional characters and changes in the ontogenetic spectrum of populations of Z. clinopodioides under the influence of various environmental factors at the range border are discussed.

Genomic Prediction Using Imputed Whole-Genome Sequence Data in Australian Angus Cattle.

Whole-genome sequence (WGS) data was used to estimate genomic breeding values for growth and carcass traits in Australian Angus cattle. The study aimed to compare the accuracy and bias of genomic predictions with three marker densities, including 50K, high-density (HD) and WGS. The dataset used in this study consisted of animals born between 2013 and 2022. Body weight traits included birthweight, weight at 400 days and weight at 600 days of age. The carcass traits were carcass weight, carcass intramuscular fat and carcass marbling score. The accuracy and bias of prediction were assessed using the cross-validation. Further, for the growth traits, animals in the validation group were subdivided into two subgroups, which were moderately or highly related to the reference. Genomic best linear unbiased prediction (GBLUP) was used to compare genomic predictions with the three marker densities. The prediction accuracies were generally similar across the marker densities, ranging between 0.61 and 0.68 for the body weight traits and between 0.40 and 0.52 for the carcass traits. However, the accuracies marginally decreased as the marker density increased for all the traits studied. A similar lack of difference was found when considering the accuracy by the relatedness subgroups. The results indicated that no meaningful difference in prediction accuracy was estimated when comparing the three marker densities due to the population structure. In conclusion, there was no substantial improvement in genomic prediction when using the WGS in this study.

Transgressive segregation and the inheritance of paraquat resistance in Canada fleabane (Conyza canadensis)

Abstract Transgressive segregation refers to the phenomenon whereby the progeny of a diverse cross exhibit phenotypes that fall outside the range of the parents for a particular trait of interest. Segregants that exceed the parental values in life history traits contributing to survival and reproduction may represent beneficial new allelic combinations that are fitter than respective parental genotypes. In this research, we use geographically disparate paraquat resistant biotypes of horseweed (Canada fleabane) [Conyza canadensis (L.) Cronquist; syn. Erigeron canadensis L.] to explore transgressive segregation in biomass accumulation and the inheritance of the paraquat resistance trait in this highly self-fertilizing species. Results of this research indicated that the paraquat resistance traits in E. canadensis biotypes originating in California, USA and Ontario, Canada were not conferred by single major gene mechanisms. Segregating generations from crosses among resistant and susceptible biotypes all displayed transgressive segregation in biomass accumulation in the absence of the original selective agent, paraquat. However, when challenged with a discriminating dose of paraquat, progeny from the crosses of susceptible x resistant and resistant x resistant biotypes displayed contrasting responses with those arising from the cross of two resistant biotypes no longer displaying transgressive segregation. These results support the prediction that transgressive segregation is frequently expressed in self-fertilizing lineages and is positively correlated with the genetic diversity of the parental genotypes. When exposed to a new environment, transgressive segregation was observed regardless of parental identity or history. However, if hybrid progenies were returned to the parental environment with exposure to paraquat, the identity of fittest genotype (i.e., parent or segregant) depends on the history of directional selection in the parental lineages and the dose to which the hybrid progeny was exposed. It is only in the original selective environment that the impact of allelic fixation on transgressive segregation can be observed.

Combining ability of new maize lines according to grain productivity and its components

The most important indicator of the initial material’s value in breeding for heterosis is its combining ability. The purpose of the current work was to study the combining ability of new self-pollinated maize lines according to grain productivity and its main components. The study was conducted at the FSBSI “ARC “Donskoy”, located in the southern part of the Rostov region with unstable moisture, in 2021–2023. The objects of the studies were 9 new constant self-pollinated maize lines and the line ‘RD 329’, used as a standard. The objects of the studies were also 3 testers, simple maize hybrids ‘Kros 1’, ‘Kros 2’, ‘Kros 3’ and 30 new test-cross hybrids of maize. There have been identified new highly heterotic maize hybrids of practical interest ‘Kros1×Sl 303’ (5.05 t/ha), ‘Kros1×Sl 308’ (4.75 t/ha), ‘Kros1×Sl 309’ (4.84 t/ha). There have been identified new self-pollinated lines ‘Sl 303’ (gi = 0.56), ‘Sl 308’ (gi = 0.43) and ‘Sl 309’ (gi = 0.47) with high combining ability according to the trait ‘grain productivity’ and are recommended for use in programs of hybridization. Self-pollinated lines with high GCA according to grain productivity, as a rule, had higher GCA for such productivity traits as ‘a number of grains per ear’, ‘one ear weight’ and ‘a number of ears per plant’. This contributed to the formation of a large number of grains per ear in test-cross maize hybrids (623–655 pcs.), the formation of ears with a large weight (131–147 g), and the absence of sterile plants in dry conditions. The combining ability according to the trait ‘1000-grain weight’ had no effect on productivity of test-cross hybrids in dry conditions. The use of self-pollinated lines with high values of productivity traits and transmitting high values to hybrids made it possible to develop new productive hybrid combinations.

A consumer-oriented approach to define breeding targets for molecular breeding.

Flavor is a crucial aspect of the eating experience, reflecting evolving consumer preferences for fruits with enhanced quality. Modern fruit breeding programs prioritize improving quality traits aligned with consumer tastes. However, defining fruit-quality attributes that significantly impact consumer preference is a current challenge faced by the industry and breeders. This study proposes a data-driven approach to statistically model the relationship between fruit-quality parameters and consumers' overall liking. Our primary hypothesis suggests that the interplay between fruit-quality attributes and consumer preferences may reach a critical value, serving as new empirical benchmarks for fruit quality. Using extensive historical datasets accounting for sensory, biochemical, and genomic information described in blueberry, we first demonstrated that multivariate adaptive regression splines (MARS) could be used to identify specific values of fruit-quality traits that significantly affect consumer perception by using nonlinear spline regressions on estimating threshold points. We harnessed genomic information and carried out genomic selection (GS) for five fruit-quality traits evaluated on the original scale and after classified via the MARS approach. This study provides a pioneering consumer-centric and data-driven approach to defining fruit-quality standards and supporting molecular breeding that has broad applications to breeding programs from any species.

Preharvest Natural Multitoxin Contamination of Winter Wheat Genotypes in Hungary with Special Attention to Aflatoxins and HT-2 Toxin

Toxigenic fungi are among the most significant disease-causing agents in wheat. DON is the most common Fusarium mycotoxin, and for a long time, it was the only toxin researched. However, multitoxin data from wheat samples have drawn attention to the fact that much more toxins can be involved in the wheat toxin story than we supposed earlier. For resistance breeding, we need a more detailed approach to identify toxins that occur above the limit and identify the source of the fungal species that produces them. This study analyzed local wheat varieties for fungal infections and natural multitoxin contamination. Eighteen winter wheat genotypes were tested for fungal contaminations across three different locations in 2021 and 2022. Fourteen different mycotoxins—deoxynivalenol, aflatoxins (B1, B2, G1, and G2), fumonisins (B1 and B2), sterigmatocystin, ochratoxin A, zearalenone, T-2, HT-2, and diacetoxyscirpenol—were analyzed using HPLC/triple-quad MS. Toxigenic species such as Fusarium, Aspergillus, and Penicillium had low rates of occurrence, but the toxin contamination was often surprisingly high. Many samples without corresponding fungal infections were also identified as containing mycotoxins. Therefore, the identified fungal infection is less useful for forecasting toxin level. In conclusion, mycotoxin contamination is decisive. Most samples were contaminated by one or more mycotoxins. Although the mycotoxin concentrations typically remained below EU limits, some samples exhibited higher levels, particularly aflatoxins and Ht-2 toxin. Significant variations were observed across year, location, and genotype. For several toxins, significant genotype differences were identified, supporting the hypothesis that resistance may be a useful and suitable control measure. Stability of toxin contamination across years and locations is a very valuable trait; genotypes were identified with low toxin levels and stability (low variance) to all mycotoxins tested. It seems that, in addition to DON, more attention should be given to aflatoxin B1, B2, and G1, which provided similar concentrations. The HT-2 toxin was present in many samples surpassing EU limits. This is the first report on the dangerous occurrence of preharvest-origin aflatoxins and the HT-2 toxin of wheat in Hungary.

Shared genetic architecture links energy metabolism, behavior and starvation resistance along a power-endurance axis

Abstract Shared developmental, physiological, and molecular mechanisms can generate strong genetic covariances across suites of traits, constraining genetic variability, and evolvability to certain axes in multivariate trait space (“variational modules” or “syndromes”). Such trait suites will not only respond jointly to selection; they will also covary across populations that diverged from one another by genetic drift. We report evidence for such a genetically correlated trait suite that links traits related to energy metabolism along a “power-endurance” axis in Drosophila melanogaster. The “power” pole of the axis is characterized by high potential for energy generation and expenditure—high expression of glycolysis and TCA cycle genes, high abundance of mitochondria, and high spontaneous locomotor activity. The opposite “endurance” pole is characterized by high triglyceride (fat) reserves, locomotor endurance, and starvation resistance (and low values of traits associated with the “power” pole). This trait suite also aligns with the first principal component of metabolome; the “power” direction is characterized by low levels of trehalose (blood sugar) and high levels of some amino acids and their derivatives, including creatine, a compound known to facilitate energy production in muscles. Our evidence comes from six replicate “Selected” populations adapted to a nutrient-poor larval diet regime during 250 generations of experimental evolution and six “Control” populations evolved in parallel on a standard diet regime. We found that, within each of these experimental evolutionary regimes, the above traits strongly covaried along this “power-endurance” axis across replicate populations which diversified by drift, indicating a shared genetic architecture. The two evolutionary regimes also drove divergence along this axis, with Selected populations on average displaced towards the “power” direction compared to Controls. Aspects of this “power-endurance” axis resemble the “pace of life” syndrome and the “thrifty phenotype”; it may have evolved as part of a coordinated organismal response to nutritional conditions.

Assessing the Diversity of Beta vulgaris L. ssp. maritima (Sea Beet) Populations in Egypt

Sea beet (Beta vulgaris L. subsp. maritima (L.) Arcang.) is a wild member of the Amaranthaceae family and a progenitor for all the cultivated beets (Beta vulgaris subsp. vulgaris). It is a source of stress-resistant genes, contributing 21 valuable traits to sugar beet through multiple breeding approaches. Despite its importance, the core morphological diversity of sea beet within the Egyptian Mediterranean coastal region has not yet been thoroughly explored. The field observations indicated notable morphological diversity among sea beet populations. This study investigated the morphological diversity of six sea beet populations along with their associated soil and climatic conditions in their primary habitats. Our morphometric investigations identified two varieties: Beta vulgaris subsp. maritima var. glabra, characterized by glabrous, erect, larger basal leaves, and Beta vulgaris subsp. maritima var. pilosa, distinguished by its hairy, prostrate form with smaller basal leaves. These varieties exhibited differences in their spatial distribution, showing high variations at the inter- and intra-population levels as well as the variety level. Soil parameters significantly influenced population morphological variability, which demonstrated a strong positive correlation with soil organic carbon. Our results highlight the need for precise survey and molecular characterization to secure these potential genetic resources from alteration and loss, especially in coastal habitats that are particularly sensitive to future climate change.

Analysis of Rfo-Mediated Network in Regulating Fertility Restoration in Brassica oleracea

Ogura cytoplasmic male sterility (CMS) lines play a crucial role in the utilization of heterosis. However, valuable traits, such as disease resistance genes from Ogura CMS hybrids, are challenging to incorporate for germplasm innovation, particularly in cabbage and broccoli. To date, the Rfo-mediated network regulating fertility restoration remains largely unexplored. In this study, we conducted a transcriptomic analysis of broccoli flower buds from Ogura CMS SFB45 and its Rfo-transgenic fertility restoration line, pRfo, at different stages of pollen development. Gene Ontology (GO) terms such as “pollen exine formation”, “flavonoid metabolic and biosynthetic processes”, and “pollen wall assembly”, along with Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways including “flavonoid biosynthesis”, “MAPK signaling pathway-plant”, and “ABC transporters”, were significantly enriched. We identified five differentially expressed genes (DEGs) involved in tapetum-mediated callose metabolism, thirty-four DEGs related to tapetum-mediated pollen wall formation, three DEGs regulating tapetum programmed cell death (PCD), five MPKs encoding DEGs, and twelve DEGs associated with oxidative phosphorylation. Additionally, yeast two-hybrid and bimolecular fluorescence complementation (BiFC) assays demonstrated that RFO directly interacts with ORF138 at the protein level. These findings provide valuable insights into the fertility recovery mechanisms regulated by Rfo in broccoli and offer important clues for breeders aiming to enhance Ogura CMS hybrids in Brassica oleracea.

Eelgrass (Zostera marina) Trait Variation Across Varying Temperature-Light Regimes

Seagrass trait variation, which results from both local genetic adaptation and phenotypic plasticity, has important effects on ecosystems. Physical drivers underlie these processes and are important determinants of trait variation. Despite this, few studies examine multivariate predictive relationships between sets of physical drivers and sets of seagrass traits. Here, we use redundancy analysis to define this relationship for eelgrass Zostera marina, using traits that represent bed structure, morphology, and physiology and physical drivers that emphasize light conditions and temperature variability on different time scales. We found a relationship between plant size (i.e., leaf length and width, rhizome width, number of leaves) and shoot density that dominated the trait variation. Specifically, as temperatures became warmer, more variable, and light was less limiting, plants became smaller (shorter, narrower, and fewer leaves, thinner rhizomes) but beds became denser. Plant biomass (leaf area index), which increased with decreasing temperature variability and bottom light, further refined this relationship. Overall, temperature variability (i.e., daily temperature range, heat accumulation, time in the optimal temperature range, and tidal and meteorological variability), as well as bottom light, were important predictors of eelgrass traits. We further identified three distinct temperature-light regimes across which traits differed; these included the cool low variability temperature regime with low light, the warm high variability temperature regime with high light, and the intermediate case between these endpoints. Our study identifies specific temperature and light drivers that define certain eelgrass traits and provides a multivariate statistical model that can be used to predict eelgrass trait values from known physical conditions.

Field margin management for promoting plant diversity—A functional approach to investigating the effects of multiple measures on plant community dynamics

Strategies to counteract the loss of arable plant diversity often target field margins. Yet there is still need for research on how arable plant diversity is impacted by the type, scale and diversity of margin management. To assess this experimentally, we combined five measures imposing different disturbance regimes (flower-strip mown twice a year, tilling in spring or autumn, adding sand as substrate, and frequent mowing as a control) at two spatial scales.We explored how plant community dynamics are affected by both single measures and their combination. We addressed four hypotheses: H1) single measures shift community weighted mean (CWM) values of functional traits and reduce the within-measure community weighted standard deviation (CWSD) of these traits; H2) heavy disturbance (early tilling and sand) causes taxonomic and functional diversity (alpha-diversity) to increase over time; H3) combining different measures increases dissimilarity (beta-diversity) and thus gamma-diversity across measures; and H4) increased spatial heterogeneity of measures promotes all levels of diversity.We found shifts in CWM and reduced CWSD in flower-strips (smaller seed mass, perennial lifespan) and late-tilling (later flowering-onset) whereas sand and early-tilling tended to increase CWSD (H1). Trends across measures indicate shifts towards species with competitive strategies (H1). Compared to frequently mown controls, heavy disturbance (sand and early-tilling) promoted alpha-diversity over time, despite lower initial diversity. Moderate disturbance (flower-strip, late tilling) initially promoted alpha-diversity, but diversity then did not increase further (H2). Combining different measures promoted diversity compared to single measures, but the similarity between measures increased over time (H3). Scale played a minor role in determining community-composition (H4).Disturbance regimes imposed by different management of field margins shape the functional composition of arable plant communities. Strategies combining different measures help to balance initial benefits of moderate disturbance with the longer-term diversity gains from heavier disturbance.

<i></i>Ring width distribution as a valuable anatomical trait for predicting bending strength and rigidity in European oak wood beams

Ring width variability affects the elasticity and strength of wood members. This study was conducted to determine which dispersion statistics of annual ring width distributions measured in cross section in European oak (Quercus robur L.) wood beams are useful as covariates in models for predicting modulus of elasticity (MOE) and modulus of rupture (MOR). For this purpose, 21 European oak trees growing in north-western Spain were felled, logged and sawn. The planks obtained were air-dried and surfaced into beams (50×100×2,000 mm), which were visually graded according to the UNE 56544:2022 standard. MOE, MOR, moisture content and density (determined according to EN 408:2010 standard) and abundance of sapwood and ring widths were determined in 30 beams apt for structural purposes. MOE was significantly related to standard deviation, variance and interquartile range of the ring width distribution in the beam. MOE was also related to mean ring width (r =-0.52, p<0.01) and maximum ring width per beam (r =-0.54, p<0.01), an easy to measure variable. MOR was also related to ring width distribution parameters, although yielding lower r values. The influence of ring width evenness and maximum ring width can be considered to improve visual strength grading standards for European oak timber.

Assessing temporal variability in durum wheat performance and stability through multi-trait mean performance selection in Mediterranean climate

Durum wheat, a staple crop in Italy, faces substantial challenges due to increasing droughts and rising temperatures. This study examines the grain yield, agronomic traits, and quality of 41 durum wheat varieties over ten growing seasons in Southern Italy, utilizing a randomized complete block design. Notably, most varieties were not repeated between trials and 45% of the data was missing. The results indicate that the interaction between genotype and environment (GEI) significantly impacted all traits. High temperatures, elevated vapor pressure deficit (VPD), and water deficits severely affected yield and quality during warm years, while cooler years with favorable water availability promoted better growth and higher yields. Broad-sense heritability (H²) was generally low, suggesting that environmental factors played a major role in the observed traits. However, some traits, such as grain yield, ears per square meter, plant height, bleached wheat, thousand-grain weight, and hectoliter weight exhibited moderate to high heritability of the mean genotype (h²mg), indicating their potential for effective selection in breeding programs. Correlation analyses revealed strong connections between certain traits, such as protein content, and gluten index as well as between grain yield, and spike per square meter. Using the Multi-Trait Mean Performance Selection (MTMPS) index, the study identified six top-performing varieties. Among these, Antalis (G4) and Core (G18) consistently demonstrated strong adaptability and stability across different environments, particularly in hotter, drier conditions. Furio Camillo (G31) also exhibited valuable traits. This study highlights the challenges and complexities of breeding durum wheat for improved yield and quality in the face of climate change.

Genome Wide Association Analysis for Uniform Coleoptiles Emergence and Early Seedling Growth in Rice

Early seedling vigour (ESV) is a complex trait in rice. Detection of QTLs/genes controlling these traits can help us in enhancing the yield potential in rice varieties. Association mapping is a technique based on the principle of linkage disequilibrium that is used to find genes or quantitative trait loci (QTL) underlying the complex traits. In this study of haplotype breeding 281 rice genotypes were taken. ANOVA analysis showed P- value for traits and genotypes was found significant. Similarly, P-value for interaction between the traits and genotypes was also found to be highly significant (1.8663*10-208). Further, mean germination data positively correlated with mean shoot length, mean leaf number, mean culm diameter, mean shoot dry weight, and mean shoot area of 21st day among the 281 genotypes. Among the 281 number of genotypes, 111 genotypes are found to be in PCA1 and 170 genotypes are found to be in PCA2 based on the phenotypic analysis. PCA1 component constituted 29.93% and PCA2 constituted the 13.68% of total variation in the analysis. Besides, whole genome phylogenetic analysis showed three major groups of which Group 1 consists of 215 genotypes, group 2 consists of 38 genotypes and group 3 consists of 28 genotypes respectively. Especially, both the subgroups II and III comprised of the unique genotypes from the indica and aus subpopulations of rice. In this analysis, 16 significant associations (LOD Score >7) for different traits were identified using the three different models (MLM, farmCPU, and blink) for GWAS studies Especially, one major QTL was identified for the mean coleoptiles’ emergence for 10 DAS on 11th chromosome (18983591) which explained 49% of the phenotypic variance. Additionally, another major QTL contributing to the shoot length variation of 29.75% was identified in the Chr02 (32954393) for shoot length trait on 28 DAS. A candidate gene namely Os02g0778400 UMP/CMP kinase A/adenylate kinase (LOC_Os02g53790) was located in the significant SNP region of the GWAS analysis. Further characterization of this gene would assist in elucidation of the mechanism regulating the early seedling length in rice under direct seeded rice.

Genetic Variation Study of Several Romanian Pepper (Capsicum annuum L.) Varieties Revealed by Molecular Markers and Whole Genome Resequencing

Numerous varieties of Capsicum annuum L. with multiple valuable traits, such as adaptation to biotic and abiotic stress factors, can be found in south-east Romania, well known for vegetable cultivation and an important area of biodiversity conservation. To obtain useful information about sustainable agriculture, management, and conservation of local pepper varieties, we analyzed the genetic diversity and conducted deep molecular characterization using whole genome resequencing (WGS) for variant/mutation detection. The pepper varieties used in the present study were registered by VRDS in the ISTIS catalog between 1974 and 2019 and maintained in conservative selection; however, no studies have been published yet using WGS analysis in order to characterize this specific germplasm. The genome sequences, annotation, and alignments provided in this study offer essential resources for genomic research as well as for future breeding efforts using the C. annuum local varieties.

Leaf Photosynthetic and Photoprotective Acclimation in the Ultraviolet-A1 and Blue Light Regions Follow a Continuous, Shallow Gradient.

Although blue light is known to produce leaves with high photosynthetic capacity, the role of the blue-adjacent UV-A1 (350-400 nm) in driving leaf photosynthetic acclimation is less studied. Tomato plants were grown under hybrid red and blue (RB; 95/5 μmol m-2 s-1), as well as four treatments in which RB was supplemented with 50 μmol m-2 s-1 peaking at 365, 385, 410 and 450 nm, respectively. Acclimation to 365-450 nm led to a shallow gradient increase in trait values (i.e., photosynthetic capacity, pigmentation and dry mass content) as the peak wavelength increased. Furthermore, both UV-A1 and blue light grown leaves showed efficient photoprotection under high light intensity. When treated plants were transferred to fluctuating light for 5 days, leaves from all treatments showed increases in photosynthetic capacity, which were strongest in RB, followed by additional UV-A1 treatments; RB grown leaves showed reductions in maximum quantum yield of photosystem II, while UV-A1 grown leaves showed increases. We conclude that both UV-A1 and blue light effectively trigger photosynthetic and photoprotective acclimation, the extent of acclimation becoming stronger the longer the peak wavelength is. Acclimatory responses to UV-A1 and blue light are thus not distinct from one another, but follow a continuous gradient.

Interspecific trait differences drive plant community responses on serpentine soils

Abstract Serpentine ecosystems are characterised by multiple environmental stressors: high levels of trace metals such as nickel (Ni), low availability of macronutrients and low water retention. These harsh environmental conditions exert a strong selective force on the vegetation, but their effect on community assembly processes and the functional trait composition remains unknown. In 26 plots on four serpentine sites on Lesbos Island (Greece), we measured six leaf functional traits related to resource acquisition and stress resistance on the 20 most abundant plant species. We quantified the proportion of variance explained by inter‐ and intraspecific trait differences and tested if individual species showed changes in trait values explained by soil Ni content. We investigated the adaptive value and the community level changes for each trait along the natural soil Ni gradient using a mixed model approach and functional diversity analyses. We tested the role of the abundant serpentine endemic and Ni‐hyperaccumulating species Odontarrhena lesbiaca in driving these patterns. Intraspecific variation explained by soil Ni content is smaller than 4%, and most of the variance is explained by interspecific differences in trait values. Most species do not show significant changes in trait values in response to soil Ni. At the community level, low specific leaf areas, small and thick leaves are selected on high Ni soils. Functional diversity analyses suggest a shift towards a stress tolerance syndrome (thick and small leaves with low SLA values) and an increase in functional diversity on Ni‐rich soils. However, these patterns are driven by the increasing abundance of O. lesbiaca. The endemic Ni hyperaccumulator has a stress tolerance strategy with small thick leaves and low SLA, while the community of broadly distributed species show an increase in trait values related to dominance and fast growth. Synthesis. Intraspecific variation in leaf trait responds little to soil metal toxicity. Endemic species harbour unique trait values compared to species with broad distribution which should justify their conservation as a priority.

Functional traits mediate the elevational patterns of functional diversity and community structure of mosses in a tropical mountain area

Functional diversity refers to the value, range, and distribution of functional traits within a community, such as the morphological, physiological and behavioral characteristics of species that determine the role a species plays in an ecosystem. Assessing the drivers of elevational pattern of functional diversity is crucial to predict the effects of global change on functional diversity and community structure. In our research, we collected mosses species data from 65 sampling sites and measured 11 functional traits that are related to their ecological functions. We applied double canonical correspondence analysis (DCCA) to analyze species responses to environmental conditions based on their traits. We applied generalized additive models with a Gaussian function of variance to determine the elevational patterns of functional trait composition, diversity and community structure. We applied and compared boosted regression trees (BRT) without considering functional traits and piecewise structural equation modelling (SEM) mediated with functional traits to relate environmental variables with functional diversity and functional community structure, respectively. We found the first DCCA axis accounted for the largest dissimilarities between the two groups of species and correlated mainly with the water-utilization traits. Although both functional diversity and community structure displayed negatively skewed pattern along the elevational gradient, habitat complexity and climatic variables contributed differently to their respective patterns. The SEM approach consistently outperformed the BRT approach in explaining the variations in both functional diversity and community structure. Our findings highlight the important role of functional traits in mediating the relationship between the environment and functional diversity metrics. Both biotic and abiotic processes play a significant role in shaping the community assemblages, with environmental variables having distinct impacts. Traits related to structure maintenance, water absorption, cell hydration, and nutrient acquisition were found to be key drivers of functional diversity, while water-utilization traits were mainly responsible for regulating functional community structure.